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analytics_pipeline

Code to build a simple analytics data pipeline with Python

basic_plotting_matplotlib

Using artist layer of Matplotlib to visualize percentage of surveyed respondents interest in the different data science topics. Project completed as part of the final assignment for IBM's Data Visualization with Python course.

breast-cancer-classifier

Using Jupyter, Python, Scikit Learn, etc. to determine the best classifier for breast cancer detection (malignant or benign tumours) using UCI Wisconsin's public dataset. This project was submitted as part of a job application for the role of a jr. data scientist.

chicago-crime-sql-analysis

Final assignment for IBM SQL Coursera class for their Data Science Professional certification

clickhouse

ClickHouse is a free analytics DBMS for big data

employment-rate-canada

This project was completed in 2019, and there are many mistakes. Still choosing to share to track my progress. Python code for economist job application test.

ephemeris-compute-de430

A command-line tool for producing tables of the positions of solar system objects over time.

github-slideshow

A robot powered training repository :robot:

ibm-data-science-certification

Labs from IBM's Data Science Professional Certification with Coursera. The notebooks and their source codes are under the terms of the following MIT License (https://cognitiveclass.ai/mit-license).

introduction-to-git-and-github

Week 3 Lab

it-cert-automation-practice

Google IT Automation with Python Professional Certificate - Practice files

mapping_geospatial_data

Generating visualization plot- choropleth map of the crime rate in San Francisco. Project completed as part of the final assignment for IBM's Data Visualization with Python course.

predict_house_price

Analyzing and predicting housing prices using Pandas, NumPy, Seaborn, and Sci-kit learn. Attributes or features analyzed are square footage, number of bedrooms, number of floors and so on. This is the final assignment for IBM's Data Analysis for Python Coursera class.

python-basics

Basics in Python programming- strings, objects, classes, NumPy, write files

scrape_test

Learn and practice web-scraping

sell_out_sell_in_forecasting

Time series regression business problem: Predict monthly demand for each product using Nestle sales order data

soundscape